How to design an API around a neural network using Python?












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I have trained a binary classification neural network that is able to tell whether two sentences are duplicates or not.



Now, I want to build an API for the pre-trained neural network so that it can be used inside a small web application. The API would take a sentence input1 from the user and compare it to a sentence input2 it gets from the application's database. The neural network then predicts whether input1 and input2 are duplicates and gives the output back to the application (in the form of a number between 0 and 1).



Even though I can build neural networks in Python and understand the main mathematical concepts behind them, I am an absolute beginner when it comes to software development. Nevertheless, I want to give it a shot because I figure it could be useful to be able to build API's for my neural networks. I have built the neural network using Tensorflow, but sometimes use Keras as well. Can anyone guide me on how to get started creating an API?



The pseudocode for the API would look something like this:



import libraries required

def sentence_from_user():
input1 = user_input_from_application("> ")
return input1

def sentence_from_database():
input2
return input2

def run_feature_extraction_script():
get features from input1 and input2

def run_neural_network(): # Make a prediction based on the pre-trained model.
predict whether input1 and input2 are duplicates
return prediction # Give this prediction back to the web application









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    0














    I have trained a binary classification neural network that is able to tell whether two sentences are duplicates or not.



    Now, I want to build an API for the pre-trained neural network so that it can be used inside a small web application. The API would take a sentence input1 from the user and compare it to a sentence input2 it gets from the application's database. The neural network then predicts whether input1 and input2 are duplicates and gives the output back to the application (in the form of a number between 0 and 1).



    Even though I can build neural networks in Python and understand the main mathematical concepts behind them, I am an absolute beginner when it comes to software development. Nevertheless, I want to give it a shot because I figure it could be useful to be able to build API's for my neural networks. I have built the neural network using Tensorflow, but sometimes use Keras as well. Can anyone guide me on how to get started creating an API?



    The pseudocode for the API would look something like this:



    import libraries required

    def sentence_from_user():
    input1 = user_input_from_application("> ")
    return input1

    def sentence_from_database():
    input2
    return input2

    def run_feature_extraction_script():
    get features from input1 and input2

    def run_neural_network(): # Make a prediction based on the pre-trained model.
    predict whether input1 and input2 are duplicates
    return prediction # Give this prediction back to the web application









    share|improve this question

























      0












      0








      0







      I have trained a binary classification neural network that is able to tell whether two sentences are duplicates or not.



      Now, I want to build an API for the pre-trained neural network so that it can be used inside a small web application. The API would take a sentence input1 from the user and compare it to a sentence input2 it gets from the application's database. The neural network then predicts whether input1 and input2 are duplicates and gives the output back to the application (in the form of a number between 0 and 1).



      Even though I can build neural networks in Python and understand the main mathematical concepts behind them, I am an absolute beginner when it comes to software development. Nevertheless, I want to give it a shot because I figure it could be useful to be able to build API's for my neural networks. I have built the neural network using Tensorflow, but sometimes use Keras as well. Can anyone guide me on how to get started creating an API?



      The pseudocode for the API would look something like this:



      import libraries required

      def sentence_from_user():
      input1 = user_input_from_application("> ")
      return input1

      def sentence_from_database():
      input2
      return input2

      def run_feature_extraction_script():
      get features from input1 and input2

      def run_neural_network(): # Make a prediction based on the pre-trained model.
      predict whether input1 and input2 are duplicates
      return prediction # Give this prediction back to the web application









      share|improve this question













      I have trained a binary classification neural network that is able to tell whether two sentences are duplicates or not.



      Now, I want to build an API for the pre-trained neural network so that it can be used inside a small web application. The API would take a sentence input1 from the user and compare it to a sentence input2 it gets from the application's database. The neural network then predicts whether input1 and input2 are duplicates and gives the output back to the application (in the form of a number between 0 and 1).



      Even though I can build neural networks in Python and understand the main mathematical concepts behind them, I am an absolute beginner when it comes to software development. Nevertheless, I want to give it a shot because I figure it could be useful to be able to build API's for my neural networks. I have built the neural network using Tensorflow, but sometimes use Keras as well. Can anyone guide me on how to get started creating an API?



      The pseudocode for the API would look something like this:



      import libraries required

      def sentence_from_user():
      input1 = user_input_from_application("> ")
      return input1

      def sentence_from_database():
      input2
      return input2

      def run_feature_extraction_script():
      get features from input1 and input2

      def run_neural_network(): # Make a prediction based on the pre-trained model.
      predict whether input1 and input2 are duplicates
      return prediction # Give this prediction back to the web application






      python-3.x tensorflow api-design






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      asked Nov 20 at 7:54









      twhale

      197110




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